[ 926DASC21 ] Subject Data Science (WIN)

Workload Mode of examination Education level Study areas Responsible person Coordinating university
0 / 6 / 12 / 18 / 24 ECTS Accumulative subject examination M - Master's programme Business Informatics Michael Schrefl Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Business Informatics 2022W
Objectives Data science is an interdisciplinary field at the interface of computer science and statistics. Rapidly growing amounts of data require completely new solutions, for example in language and speech processing (e.g., machine translation) or image recognition (e.g., in self-driving cars). The specialization in Data Science empowers students to solve hard real-world problems in a data-driven manner. It provides them with profound skills in data analysis technologies such as machine learning, pattern recognition, probabilistic models, data mining, and data visualization, accompanied with a solid background in database and software technologies. Data scientists are highly demanded in industry across various domains such as medicine, smart production, finance and marketing.
Subordinated subjects, modules and lectures